Invited Talk
in
Workshop: Databases and AI (DBAI)
Collective Grounding: Relational Learning Meets Relational Theory
Eriq Augustine
Abstract:
Relational learning takes advantage of relational structure in its inputs, e.g., graphs, and its output, e.g., constraints. Building upon that, statistical relational learning (SRL) defines structure using first-order predicate logic and models probabilistic dependencies between outputs. The use of predicate logic provides a natural groundwork for SRL to take advantage of the relational theory used in modern databases. Despite this common basis, SRL frameworks still have many unexplored opportunities to use the methods developed by the database community.